Intratumoral CD103+ CD8+ T cells predict response to PD-L1 blockade

  • Romain Banchereau
    Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
  • Avantika S. Chitre
    Department of Cancer Immunology, Genentech Inc, South San Francisco, California, USA
  • Alexis Scherl
    Department of Research Pathology, Genentech Inc, South San Francisco, California, USA
  • Thomas D. Wu
    Department of Bioinformatics and Computational Biology, Genentech Inc, South San Francisco, California, USA
  • Namrata S. Patil
    Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
  • Patricia de Almeida
    Department of Cancer Immunology, Genentech Inc, South San Francisco, California, USA
  • Edward E. Kadel, III
    Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
  • Shravan Madireddi
    Department of Cancer Immunology, Genentech Inc, South San Francisco, California, USA
  • Amelia Au-Yeung
    Department of OMNI Biomarker Development, Genentech Inc, South San Francisco, California, USA
  • Chikara Takahashi
    Department of OMNI Biomarker Development, Genentech Inc, South San Francisco, California, USA
  • Ying-Jiun Chen
    Department of Microchemistry, Proteomics, Lipidomics, and Next Generation Sequencing, Genentech Inc, South San Francisco, California, USA
  • Zora Modrusan
    Department of Microchemistry, Proteomics, Lipidomics, and Next Generation Sequencing, Genentech Inc, South San Francisco, California, USA
  • Jacqueline McBride
    Department of OMNI Biomarker Development, Genentech Inc, South San Francisco, California, USA
  • Rhea Nersesian
    Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
  • Ehab A. El-Gabry
    Ventana Medical Systems Inc, Tucson, Arizona, USA
  • Mark D. Robida
    Ventana Medical Systems Inc, Tucson, Arizona, USA
  • Jeffrey C. Hung
    Department of Research Pathology, Genentech Inc, South San Francisco, California, USA
  • Marcin Kowanetz
    Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
  • Wei Zou
    Department of Biostatistics Oncology, Genentech Inc, South San Francisco, California, USA
  • Mark McCleland
    Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
  • Patrick Caplazi
    Department of Research Pathology, Genentech Inc, South San Francisco, California, USA
  • Shadi Toghi Eshgi
    Department of OMNI Biomarker Development, Genentech Inc, South San Francisco, California, USA
  • Hartmut Koeppen
    Department of Research Pathology, Genentech Inc, South San Francisco, California, USA
  • Priti S. Hegde
    Foundation Medicine, Cambridge, Massachusetts, USA
  • Ira Mellman
    Department of Cancer Immunology, Genentech Inc, South San Francisco, California, USA
  • W. Rodney Mathews
    Department of OMNI Biomarker Development, Genentech Inc, South San Francisco, California, USA
  • Thomas Powles
    Barts Cancer Center, Queen Mary University, London, UK
  • Sanjeev Mariathasan
    Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA
  • Jane Grogan
    Department of Cancer Immunology, Genentech Inc, South San Francisco, California, USA
  • William E O'Gorman
    Department of OMNI Biomarker Development, Genentech Inc, South San Francisco, California, USA

書誌事項

公開日
2021-04
権利情報
  • http://creativecommons.org/licenses/by-nc/4.0/
DOI
  • 10.1136/jitc-2020-002231
公開者
BMJ

説明

<jats:sec> <jats:title>Background</jats:title> <jats:p>CD8+ tissue-resident memory T (T<jats:sub>RM</jats:sub>) cells, marked by CD103 (<jats:italic>ITGAE</jats:italic>) expression, are thought to actively suppress cancer progression, leading to the hypothesis that their presence in tumors may predict response to immunotherapy.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>Here, we test this by combining high-dimensional single-cell modalities with bulk tumor transcriptomics from 1868 patients enrolled in lung and bladder cancer clinical trials of atezolizumab (anti-programmed cell death ligand 1 (PD-L1)).</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p> <jats:italic>ITGAE</jats:italic> was identified as the most significantly upregulated gene in inflamed tumors. Tumor CD103+ CD8+ T<jats:sub>RM</jats:sub> cells exhibited a complex phenotype defined by the expression of checkpoint regulators, cytotoxic proteins, and increased clonal expansion.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>Our analyses indeed demonstrate that the presence of CD103+ CD8+ T<jats:sub>RM</jats:sub> cells, quantified by tracking intratumoral CD103 expression, can predict treatment outcome, suggesting that patients who respond to PD-1/PD-L1 blockade are those who exhibit an ongoing antitumor T-cell response.</jats:p> </jats:sec>

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